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Hadrian

Software Engineer Intern

Los Angeles, CAfulltimeinternAdded today

About this role

Hadrian seeks a Software Engineer Intern to contribute to the software systems powering autonomous manufacturing. You'll develop internal tools, backend services, and data pipelines that directly support factory operations and customer workflows in a fast-paced, mission-driven environment.

What you'll do

  • Build internal tools, dashboards, and automation systems for factory operations
  • Develop backend services, APIs, and data pipelines for engineering and operations teams
  • Design and implement features improving visibility into production workflows and capacity
  • Collaborate with cross-functional teams to gather requirements and deliver solutions
  • Write clean, tested code and participate in code reviews
  • Identify technical risks and contribute to architectural discussions

What they're looking for

  • Python, TypeScript, Go, or similar programming languages
  • Backend development and API design
  • Data engineering or pipeline experience
  • Problem-solving and debugging skills
  • Written and verbal communication
  • Attention to detail and follow-through
  • Version control and code review practices
  • Manufacturing or industrial systems knowledge (preferred)

Benefits

  • Hands-on experience with production systems, not just toy projects
  • Direct impact on real manufacturing operations
  • Exposure to aerospace and defense industry innovation
  • Mentorship from experienced software engineers
  • Front-row seat to industrial automation transformation
  • On-site collaboration in Los Angeles
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Hadrian

Hadrian builds aerospace and defense manufacturing systems, offering enterprise software platforms, advanced tooling design, and highly automated production capabilities for the sector. The company is hiring full stack engineers, manufacturing and tooling specialists, infrastructure and identity management experts, and workforce systems architects to support its rapid scaling.

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Likely interview questions

  • Describe a production system you've shipped code for—what was your contribution and how did you measure impact?
  • How would you approach designing a data pipeline to track real-time production capacity across multiple manufacturing processes?
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